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Assessment Of Power Quality Disturbances Using Stationary Wavelet Packet Transform Based Digital Hardware


Affiliations
1 Department of Electronics and Communication Engineering, Indira Gandhi Engineering College, India
     

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The stationary wavelet packet transform (SWPT) based digital design is presented in this paper for the real-time tracking of power quality disturbances in the electrical power distribution system. In the SWPT technique, wavelet decomposition tree has been built with the MACbased architecture of the low-pass filter and high-pass filter. Here, signal decomposition has been performed by the low-pass filter and high-pass filter, then filter coefficients undergo an upsampling process which produces fundamental and odd harmonic components at the output. In this way, the SWPT technique extracts various frequency components from distorted power supply waveform with respect to time and the perfect location of power quality disturbances. The proposed technique hardware implementation has been completed on the Xilinx Artix-7 FPGA AC701 board by utilizing XSG/Vivado design suite 2018.3. Then digital hardware performance has been validated through experimental test signals, which is a combination of voltage dips, voltage swells, and momentary interruptions. The obtained results prove that the SWPT-based digital design is robust and accurate for real-time tracking of power quality disturbances (PQD).

Keywords

Stationary Wavelet Packet Transform (SWPT), Power Quality Disturbance (PQD), Field-Programming Gate Array (FPGA), Xilinx System Generator (XSG)
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  • V.E. Wagner, J.C. Balda, D.C. Griffith, A. McEachern, T.M. Barnes, D.P. Hartmann, D.J. Phileggi, A.E. Emannuel, W.F. Horton, W.E. Reid, R.J. Ferraro and W.T. Jewell, “Effects of Harmonics on Equipment”, IEEE Transactions on Power Delivery, Vol. 8, pp. 672-680, 1993.

  • IEEE Standard, “IEEE Standard Definitions for the Measurement of Electric Power Quantities Under Sinusoidal, Nonsinusoidal, Balanced, or Unbalanced Conditions”, IEEE, pp. 1-50, 2010.

  • W.G. Morsi and M.E. El Hawary, “Closure on "Reformulating Power Components Definitions Contained in the IEEE Standard 1459-2000 using Discrete Wavelet Transform”, IEEE Transactions on Power Delivery, Vol. 23, pp. 1699-1699, 2008.

  • J. Barros and R.I. Diego, "Discussion of Reformulating Power Components Definitions Contained in the IEEE Standard 1459-2000 using Discrete Wavelet Transform”, IEEE Transactions on Power Delivery, Vol. 23, pp. 16981698, 2008.

  • H. Keskes and A. Braham, “Recursive Undecimated Wavelet Packet Transform and DAG SVM for Induction Motor Diagnosis”, IEEE Transactions on Industrial Informatics, Vol. 11, pp. 1059-1066, 2015.

  • J. Pesquet, H. Krim and H. Carfantan, “Time-Invariant Orthonormal Wavelet Representations”, IEEE Transactions on Signal Processing, Vol. 44, pp. 1964-1970, 1996.

  • N.C.F. Tse, J.Y.C. Chan, W. Lau and L.L. Lai, “Hybrid Wavelet and Hilbert Transform with Frequency-Shifting Decomposition for Power Quality Analysis”, IEEE Transactions on Instrumentation and Measurement, Vol. 61, pp. 3225-3233, 2012.

  • H. Chen, Y. Sun and Y. Cheng, “Harmonic and InterHarmonic Detection of Grid-Connected Distributed Generation based on Modified Mathematical Morphology Filter and Hilbert-Huang Transformation”, Proceedings of IEEE International Conference on Power Electronics and Motion Control, pp. 1-14, 2009.

  • C.I. Chen, G.W. Chang, R.C. Hong and H.M. Li, “Extended Real Model of Kalman Filter for Time-Varying Harmonics Estimation”, IEEE Transactions on Power Delivery, Vol. 25, pp. 17-26, 2010.

  • G.W. Chang, C. Chen and Y. Teng, “Radial-Basis-FunctionBased Neural Network for Harmonic Detection”, IEEE Transactions on Industrial Electronics, Vol. 57, pp. 21712179, 2010.

  • M.A.M. Radzi and N.A. Rahim, “Neural Network and Bandless Hysteresis Approach to Control Switched Capacitor Active Power Filter for Reduction of Harmonics”, IEEE Transactions on Industrial Electronics, Vol. 56, pp. 1477-1484, 2009.

  • H.C. Lin, “Intelligent Neural Network-Based Fast Power System Harmonic Detection”, IEEE Transactions on Industrial Electronics, Vol. 54, pp. 43-52, 2007.

  • S.K. Jain and S.N. Singh, “Low-Order Dominant Harmonic Estimation using Adaptive Wavelet Neural Network”, IEEETransactions on Industrial Electronics, Vol. 61, pp. 428435, 2014.

  • S. Sohn, Y. Lim, J. Yun, H. Choi and H. Bae, “A Filter Bank and a Self-Tuning Adaptive Filter for the Harmonic and Interharmonic Estimation in Power Signals”, IEEE Transactions on Instrumentation and Measurement, Vol. 61, pp. 64-73, 2012.

  • S.G. Mallat, “A Theory for Multiresolution Signal Decomposition the Wavelet Representation”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 11, pp. 674-693, 1989.

  • V.K. Tiwari and S.K. Jain, “Hardware Implementation of Polyphase-Decomposition-Based Wavelet Filters for Power System Harmonics Estimation”, IEEE Transactions on Instrumentation and Measurement, Vol. 65, pp. 1585-1595, 2016.

  • S.K. Jain and S.N. Singh, "Exact Model Order ESPRIT Technique for Harmonics and Inter-Harmonics Estimation”, IEEE Transactions on Instrumentation and Measurement, Vol. 61, pp. 1915-1923, 2012.

  • L. Eren, M. Unal and M. J. Devaney, “Harmonic Analysis Via Wavelet Packet Decomposition using Special Elliptic Half-Band Filters”, IEEE Transactions on Instrumentation and Measurement, Vol. 56, pp. 2289-2293, 2007.

  • E. Pardo, M.A. Rodriguez-Hernandez and J.J. Perez-Solano, “Narrowband Interference Suppression using Undecimated Wavelet Packets in Direct- Sequence Spread-Spectrum Receivers”, IEEE Transactions on Signal Processing, Vol. 54, pp. 3648-3653, 2006.

  • C. Liao, H. Yang and H. Chang, “Denoising Techniques with a Spatial Noise-Suppression Method for WaveletBased Power Quality Monitoring”, IEEE Transactions on Instrumentation and Measurement, Vol. 60, pp. 1986-1996, 2011.

  • S. Baraskar, “Assessment of Power Quality Disturbances using Stationary Wavelet Packet Transform”, Proceedings of International Conference on Intelligent Computing, Instrumentation and Control Technologies, pp. 164-168, 2019.

  • W.G. Morsi and M. El-Hawary, “Novel Power Quality Indices based on Wavelet Packet Transform for NonStationary Sinusoidal and Non-Sinusoidal Disturbances”, Electric Power Systems Research, Vol. 80, No. 7, pp. 753759, 2010. [23] J. Barros and R. Diego, “Analysis of Harmonics in Power Systems using the Wavelet-Packet Transform”, IEEE Transactions on Instrumentation and Measurement, Vol. 57, No. 1, pp. 63-69, 2008.

  • W. Morsi and M. El-Hawary, “Wavelet Packet TransformBased Power Quality Indices for Balanced and Unbalanced Three-Phase Systems Under Stationary or Nonstationary Operating Conditions”, IEEE Transactions on Power Delivery, Vol. 24, No. 4, pp. 2300-2310, 2009.

  • E. Hamid, R. Mardiana and Z.I. Kawasaki, “Method for RMS and power measurements based on the wavelet packet transform”, Proceedings of International Conference on Science, Measurement and Technology, Vol. 149, No. 2, pp. 60-66, 2002.

  • J. Bruna and J.J. Melero, “Selection of the Most Suitable Decomposition Filter for the Measurement of FluctuatingHarmonics”, IEEE Transactions on Instrumentation and Measurement, Vol. 65, pp. 2587-2594, 2016.

  • Model-Based DSP Design using System Generator, Available at

  • https://www.xilinx.com/support/documentation/sw_manuals/xilinx2014_3/ug897-vivado-sysgen-user.pdf, Accessed at 2020.

  • S. Baraskar, “Assessment of Power Quality Disturbance by the Discrete Wavelet Packet Transform Implemented on the FPGA Platform”, Proceedings of Biennial International Conference on Nascent Technologies in Engineering, pp. 1-4, 2021.


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  • Assessment Of Power Quality Disturbances Using Stationary Wavelet Packet Transform Based Digital Hardware

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Authors

Savita Baraskar
Department of Electronics and Communication Engineering, Indira Gandhi Engineering College, India

Abstract


The stationary wavelet packet transform (SWPT) based digital design is presented in this paper for the real-time tracking of power quality disturbances in the electrical power distribution system. In the SWPT technique, wavelet decomposition tree has been built with the MACbased architecture of the low-pass filter and high-pass filter. Here, signal decomposition has been performed by the low-pass filter and high-pass filter, then filter coefficients undergo an upsampling process which produces fundamental and odd harmonic components at the output. In this way, the SWPT technique extracts various frequency components from distorted power supply waveform with respect to time and the perfect location of power quality disturbances. The proposed technique hardware implementation has been completed on the Xilinx Artix-7 FPGA AC701 board by utilizing XSG/Vivado design suite 2018.3. Then digital hardware performance has been validated through experimental test signals, which is a combination of voltage dips, voltage swells, and momentary interruptions. The obtained results prove that the SWPT-based digital design is robust and accurate for real-time tracking of power quality disturbances (PQD).

Keywords


Stationary Wavelet Packet Transform (SWPT), Power Quality Disturbance (PQD), Field-Programming Gate Array (FPGA), Xilinx System Generator (XSG)

References